Cloud-Based Remote Sensing for Wetland Monitoring—A Review
| cris.virtual.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.author-orcid | 0000-0002-0953-7045 | |
| cris.virtual.author-orcid | 0000-0002-5212-7383 | |
| cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtualsource.author-orcid | 0af80967-45b1-40e8-a0bf-9989e4e639c2 | |
| cris.virtualsource.author-orcid | 039c5639-27fb-49d1-97b9-e20f4c473688 | |
| dc.abstract.en | The rapid expansion of remote sensing provides recent and developed advances in monitoring wetlands. Integrating cloud computing with these techniques has been identified as an effective tool, especially for dealing with heterogeneous datasets. In this study, we conducted a systematic literature review (SLR) to determine the current state-of-the-art knowledge for integrating remote sensing and cloud computing in the monitoring of wetlands. The results of this SLR revealed that platform-as-a-service was the only cloud computing service model implemented in practice for wetland monitoring. Remote sensing applications for wetland monitoring included prediction, time series analysis, mapping, classification, and change detection. Only 51% of the reviewed literature, focused on the regional scale, used satellite data. Additionally, the SLR found that current cloud computing and remote sensing technologies are not integrated enough to benefit from their potential in wetland monitoring. Despite these gaps, the analysis revealed that economic benefits could be achieved by implementing cloud computing and remote sensing for wetland monitoring. To address these gaps and pave the way for further research, we propose integrating cloud computing and remote sensing technologies with the Internet of Things (IoT) to monitor wetlands effectively. | |
| dc.affiliation | Wydział Inżynierii Środowiska i Inżynierii Mechanicznej | |
| dc.affiliation.institute | Katedra Ekologii i Ochrony Środowiska | |
| dc.contributor.author | Abdelmajeed, Abdallah Yussuf Ali | |
| dc.contributor.author | Albert-Saiz, Mar | |
| dc.contributor.author | Rastogi, Anshu | |
| dc.contributor.author | Juszczak, Radosław | |
| dc.date.access | 2025-10-30 | |
| dc.date.accessioned | 2025-10-30T07:23:41Z | |
| dc.date.available | 2025-10-30T07:23:41Z | |
| dc.date.copyright | 2023-03-19 | |
| dc.date.issued | 2023 | |
| dc.description.abstract | <jats:p>The rapid expansion of remote sensing provides recent and developed advances in monitoring wetlands. Integrating cloud computing with these techniques has been identified as an effective tool, especially for dealing with heterogeneous datasets. In this study, we conducted a systematic literature review (SLR) to determine the current state-of-the-art knowledge for integrating remote sensing and cloud computing in the monitoring of wetlands. The results of this SLR revealed that platform-as-a-service was the only cloud computing service model implemented in practice for wetland monitoring. Remote sensing applications for wetland monitoring included prediction, time series analysis, mapping, classification, and change detection. Only 51% of the reviewed literature, focused on the regional scale, used satellite data. Additionally, the SLR found that current cloud computing and remote sensing technologies are not integrated enough to benefit from their potential in wetland monitoring. Despite these gaps, the analysis revealed that economic benefits could be achieved by implementing cloud computing and remote sensing for wetland monitoring. To address these gaps and pave the way for further research, we propose integrating cloud computing and remote sensing technologies with the Internet of Things (IoT) to monitor wetlands effectively.</jats:p> | |
| dc.description.accesstime | at_publication | |
| dc.description.bibliography | il., bibliogr. | |
| dc.description.finance | publication_nocost | |
| dc.description.financecost | 0,00 | |
| dc.description.if | 4,2 | |
| dc.description.number | 6 | |
| dc.description.points | 100 | |
| dc.description.version | final_published | |
| dc.description.volume | 16 | |
| dc.identifier.doi | 10.3390/rs15061660 | |
| dc.identifier.eissn | 2072-4292 | |
| dc.identifier.uri | https://sciencerep.up.poznan.pl/handle/item/5602 | |
| dc.identifier.weblink | https://www.mdpi.com/2072-4292/15/6/1660 | |
| dc.language | en | |
| dc.relation.ispartof | Remote Sensing | |
| dc.relation.pages | art. 1660 | |
| dc.rights | CC-BY | |
| dc.sciencecloud | nosend | |
| dc.share.type | OPEN_JOURNAL | |
| dc.subject.en | wetland | |
| dc.subject.en | peatland | |
| dc.subject.en | cloud computing | |
| dc.subject.en | remote sensing monitoring | |
| dc.subject.en | PaaS | |
| dc.subject.en | SaaS | |
| dc.subtype | ReviewArticle | |
| dc.title | Cloud-Based Remote Sensing for Wetland Monitoring—A Review | |
| dc.title.volume | Special Issue Application of Remote Sensing for Monitoring of Peatlands | |
| dc.type | JournalArticle | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 6 | |
| oaire.citation.volume | 15 |